Knowledge Graph in Data Quality Evaluation for IoT applications

The IoT advancement raises concerns about the varying quality of data produced by IoT devices. Data quality (DQ) is an important concept that is used in the design and employment of information, data management, decision making, and engineering systems with multiple applications already available for solving specific problems. However, current approaches to DQ integration into the data management pipeline are limited to particular applications that harden their adoption in the IoT domain. This paper presents a generic framework that enables DQ evaluation incorporation in a broad spectrum of IoT applications. The framework is based on a knowledge graph that facilitates its adoption in new applications. The developed framework supports selecting the DQ metrics and implementing their integration calculus. The use case that validates the framework in solving real-life tasks is presented.